PyClone: statistical inference of clonal population structure in cancer
Nature methods, 2014•nature.com
We introduce PyClone, a statistical model for inference of clonal population structures in
cancers. PyClone is a Bayesian clustering method for grouping sets of deeply sequenced
somatic mutations into putative clonal clusters while estimating their cellular prevalences
and accounting for allelic imbalances introduced by segmental copy-number changes and
normal-cell contamination. Single-cell sequencing validation demonstrates PyClone's
accuracy.
cancers. PyClone is a Bayesian clustering method for grouping sets of deeply sequenced
somatic mutations into putative clonal clusters while estimating their cellular prevalences
and accounting for allelic imbalances introduced by segmental copy-number changes and
normal-cell contamination. Single-cell sequencing validation demonstrates PyClone's
accuracy.
Abstract
We introduce PyClone, a statistical model for inference of clonal population structures in cancers. PyClone is a Bayesian clustering method for grouping sets of deeply sequenced somatic mutations into putative clonal clusters while estimating their cellular prevalences and accounting for allelic imbalances introduced by segmental copy-number changes and normal-cell contamination. Single-cell sequencing validation demonstrates PyClone's accuracy.
nature.com